Build Smarter Chatbots, Faster.

You can use website content (by providing URLs to be crawled), local text files (.txt), Word documents (.docx), and PDF files as data sources for the RAG functionality.

WebChatAgent is designed to be flexible. Currently, it supports leading cloud LLMs like Google Gemini and models from OpenAI (such as GPT-4, GPT-3.5). You can select your preferred model in the chatbot settings.

The chatbot uses state-of-the-art AI models (like Google Gemini and OpenAI) that have been trained to understand and communicate naturally. These AI systems read your content, understand customer questions, and generate helpful responses that sound human. They can also decide when to take actions like collecting contact information or connecting to other tools.

Yes! Your chatbot can connect to other business tools and services. For example, it can book appointments in your calendar, add contacts to your CRM, send notifications, or retrieve information from your databases. This makes it a true assistant that can take action, not just provide information.

You can extend your chatbot through multiple integration options: Connect to thousands of apps via Zapier, use the Model Context Protocol (MCP) for advanced AI integrations and custom tools, or build your own integrations using our API. The MCP standard enables your chatbot to interact with AI-native tools and services, while Zapier provides easy connections to popular business apps like email, CRM systems, and project management tools.

Traditional chatbots can only respond with pre-written answers. WebChatAgent is an AI assistant that understands your content, answers questions naturally, and can take real actions. It can collect leads, schedule callbacks, gather feedback, and even connect to your other business tools to complete tasks automatically - making it a true virtual assistant for your business.

After configuring your chatbot, WebChatAgent generates a simple code snippet (usually a JavaScript tag). You copy this snippet and paste it into the HTML code of your website. The chatbot will then appear as a widget on your page.

The integration process takes only about 2-5 minutes. With our WordPress plugin, it is even faster as you do not need to manually add the code snippet to your website - the plugin handles everything automatically.

Security is a priority. Your LLM API keys are stored securely and only used for communication with the respective services. Data uploaded for RAG is stored in a secure database and solely used for answering questions through your chatbot.

You can start with our Starter plan at no cost to test the platform and build your first chatbot. This plan includes limited messages and basic features. For businesses with higher volumes and advanced needs, we offer flexible paid plans. All plans allow you to use your own API keys (e.g., from Google Gemini or OpenAI) to power the AI, giving you full control over costs and capabilities.

Yes! The AI agent is multilingual and automatically responds in the language the user is communicating in. Whether your customers write in English, German, Spanish, French, or any other language, the AI agent will understand and respond naturally in that same language. This makes it perfect for international businesses and multilingual customer support.